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The i-Treasures Intangible Cultural Heritage dataset
Grammalidis, Nikos; Dimitropoulos, Kosmas; Tsalakanidou, Filareti et al.
2016
 

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Abstract :
[en] In this paper, we introduce the i-Treasures Intangible Cultural Heritage (ICH) dataset, a freely available collection of multimodal data captured from different forms of rare ICH. More specifically, the dataset contains video, audio, depth, motion capture data and other modalities, such as EEG or ultrasound data. It also includes (manual) annotations of data, while in some cases additional features and metadata are provided, extracted using algorithms and modules developed within the i-Treasures project. We describe the creation process (sensors, capture setups and modules used), the dataset content and the associated annotations. An attractive feature of this ICH Database is that it's the first of its kind, providing annotated multimodal data for a wide range of rare ICH types. Finally, some conclusions are drawn and the future development of the dataset is discussed.
Author, co-author :
Grammalidis, Nikos
Dimitropoulos, Kosmas
Tsalakanidou, Filareti
Kitsikidis, Alexandros
Roussel, Pierre
Denby, Bruce
Chawah, Patrick
Buchman, Lise
Dupont, Stéphane  ;  Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Laraba, Sohaib ;  Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Picart, Benjamin ;  Université de Mons > Faculté Polytechnique > Génie Electrique
Tits, Mickaël ;  Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Tilmanne, Joëlle ;  Université de Mons > Faculté Polytechnique > Information, Signal et Intelligence artificielle
Hadjidimitriou, Stelios
Hadjileontiadis, Leontios
Charisis, Vasileios
Volioti, Christina
Stergiaki, Athanasia
Manitsaris, Athanasios
bouzos, Odysseas
Manitsaris, Sotiris
More authors (11 more) Less
Language :
English
Title :
The i-Treasures Intangible Cultural Heritage dataset
Publication date :
06 July 2016
Event name :
IEEE Workshop on Movement and Computing
Event place :
Thessaloniki, Greece
Event date :
2016
Research unit :
F105 - Information, Signal et Intelligence artificielle
Research institute :
R450 - Institut NUMEDIART pour les Technologies des Arts Numériques
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